Hydrolytic enzyme modified magnetic nanoparticles: An innovative and green microextraction system for inorganic species in food samples


YILMAZ E., Erbas Z., SOYLAK M.

Analytica Chimica Acta, vol.1178, 2021 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 1178
  • Publication Date: 2021
  • Doi Number: 10.1016/j.aca.2021.338808
  • Journal Name: Analytica Chimica Acta
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), Artic & Antarctic Regions, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Chimica, Communication Abstracts, Compendex, EMBASE, Food Science & Technology Abstracts, MEDLINE, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Keywords: Enzyme immobilization, Hydrolytic enzyme, Microextraction, Enzyme-based hydrolytic microextraction, Magnetic nanoparticles, Arsenic, Food samples, ATOMIC-ABSORPTION-SPECTROMETRY, SOLID-PHASE EXTRACTION, LIQUID-LIQUID MICROEXTRACTION, SENSITIVE DETERMINATION, ENVIRONMENTAL-SAMPLES, ASSISTED EXTRACTION, SE-SPECIATION, DIGESTION, WATER, PRECONCENTRATION
  • Erciyes University Affiliated: Yes

Abstract

© 2021 Elsevier B.V.In the presented study, the usability of hydrolytic enzyme immobilized magnetic nanoparticles as an extraction agent for the microextraction of metal ions from food samples was investigated. α-amylase modified magnetic carbon nanotubes (α-amylase-Fe3O4/MWCNTs) was used as an extraction agent for direct microextraction of trace arsenic from food sample phase into liquid phase medium prior to its ICP-MS determination. In extraction studies using hydrolytic enzymes, it is impossible to recover the free soluble enzyme after extraction without losing its activity. In our study, this problem was overcome by immobilizing the hydrolytic enzyme on magnetic support. In this way, α-amylase-Fe3O4/MWCNTs as an extraction agent with a reuse property of at least six times was used. α-amylase-Fe3O4/MWCNTs was characterized by FT-IR, XRD, SEM, SEM-EDX, VSM, TGA, and DTG techniques. Optimization of the presented method was performed using 1568 A rice flour certified reference material. Analytical parameters such as type of hydrolytic enzyme, pH and volume of the aqueous phase, extraction temperature and ultrasonic irridation time were optimized. The microextraction step was performed in ultrasonic water bath within only ∼15 min. Limit of detection (LOD), limit of quantification (LOQ) and relative standard deviation (RSD %) values for the developed method were found to be 14.3 μg kg−1, 47.3 μg kg−1 and 7.5%, respectively. The method was successfully applied to the analysis of arsenic contents of different rice and flour samples.